Paper Title:
Multiple-Response Surface Approach: Modeling and Optimization
  Abstract

Many products and processes have multidimensional characteristics and criteria. As these responses involve common parameters and processes, the response data are correlated. The quality and reliability improvement of such products and processes will typically involve multiple-response optimizations to find optimal operating conditions. Many of the current multiple-response optimization approaches assume a single-response uncertainty in the response models, and the uncertainty in the parameter estimates of the models. In this paper, we consider a Bayesian Model Average (BMA) approach to the modeling and optimization of variability of the predictions and the uncertainty of the model parameters. We further propose a Mahalanobis distance (MD) approach to account for the correlations among the response and the variation in the estimation of the response model.

  Info
Periodical
Chapter
Chapter 5: Monitoring and Control of the Manufacturing Process
Edited by
Zhijiu Ai, Xiaodong Zhang, Yun-Hae Kim and Prasad Yarlagadda
Pages
321-325
DOI
10.4028/www.scientific.net/AMR.339.321
Citation
B. Nie, D. Liao, J. Ding, Y. D. He, "Multiple-Response Surface Approach: Modeling and Optimization", Advanced Materials Research, Vol. 339, pp. 321-325, 2011
Online since
September 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: James J. Hensman, Rob J. Barthorpe
Abstract:The optimal selection of discriminatory features from large datasets remains a pressing problem in damage identification. In this paper, a...
151
Authors: Ye Hong Dong, Dong Xiang, Guang Hong Duan
Abstract:In order to address the problem of quality control faced in multi-type and small-batch manufacturing mode, the method based on Bayesian...
292
Authors: Yi Jian Liu, Li Ming Di, Yan Jun Fang
Chapter 6: Algorithm Design
Abstract:A novel modeling method based on Bayesian inferring for dynamic nonlinear system is proposed in this article. The Bayesian inferring model...
1640
Authors: Chien Chih Wang
Chapter 10: Mechatronics and Control Technology
Abstract:To improve the printed circuit board (PCB) manufacturing process, it is important to have an automatic inspection system that classifies...
1393
Authors: Zhen Sheng Wang, Jian Sun, Guang Yao Lian
Chapter 3: Techniques for Measurement, Detection and Monitoring
Abstract:Due to the uncertainty in the testing process of electric equipment, Bayesian network is introduced to modify the hybrid diagnostic model,...
394